Corral

Control what AI does. Not just what it sees.

Most AI security focuses on what the model can access. That's necessary. It's not sufficient. AI agents act — and governing agent behavior requires control across the entire stack.

Agents are a new type of user. And the hardest security problem has always been user behavior.

Agents can be manipulated through their inputs: prompt injections from emails, tainted reasoning from web content, chained tool calls that propagate untrusted data into trusted systems.

The good news: agents work in spaces we can control far more granularly than human users. The bad news: that control requires the full stack. And you can't safely customize AI behavior without controlling every layer.

An agent reads a compromised email, acts on tainted reasoning, and propagates untrusted input into a trusted system. The attack surface isn't the model — it's the chain of actions afterward.

Secure by architecture. Not by policy.

Corral's Cumulative Restrictions Framework tracks what an agent has been exposed to and constrains what it can do next. This isn't a filter you bolt on. It's the architecture — and it's what makes safe extensibility possible.

01

Exposure

An agent reads content from an untrusted source — an email, a webpage, a user-uploaded file.

02

Detection

Hidden injections are surfaced as visible text requiring human review. The agent's reasoning is flagged as potentially tainted.

03

Constraint

Subsequent actions are constrained: elevated approval requirements, restricted tool access, human-in-the-loop checkpoints.

04

Audit

Every action, every decision, every data access — logged with full context. Immutable. Queryable.

On-Tenant Deployment

Your cloud. Your boundary.

Corral deploys directly into your Azure tenant. Your data never leaves your boundary — not by policy, by architecture. We can't access it.

  • Zero data egress
  • Inherit Azure certifications
  • Private endpoints & VNet integration

Cumulative Restrictions Framework

Control what AI can do.

Governs agent actions based on what they've been exposed to. Tool boundaries, action conditions, approval flows — applied automatically, every time.

  • Per-agent permission scoping
  • Human-in-the-loop for high-risk actions
  • Content filtering & PII detection

Governance & Observability

Full visibility. Total accountability.

Every conversation, every tool call, every decision — logged with full context. Compliance teams can answer any question. Security teams can investigate any incident.

  • Immutable audit trail
  • Policy enforcement (input & output)
  • Real-time monitoring & alerting

Guardrails that make sense.

Every agent gets scoped permissions that match its role. Not blanket restrictions — precise, contextual boundaries.

HR Agent

Can read policies, can't access compensation data. Can create tickets, can't modify employee records.

Support Agent

Can read customer history, can issue refunds under $100. Larger refunds require approval.

Executive Assistant

Can schedule meetings, send emails as draft. Calendar invites on behalf of exec need confirmation.

Your data never leaves your tenant. Not by policy — by architecture. We can't access it. Your AI runs on your infrastructure, behind your network, governed by your identity provider. Zero data egress, full audit trail, tenant isolation by default.

You can customize AI behavior without compromising the security model underneath. That's what safe extensibility means — and it's only possible when security is the architecture, not a bolt-on.

Need help or guidance?

We're here. Contact us for any reason — whether you're evaluating Corral, planning a deployment, or just have questions about enterprise AI.